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Topic: "feedforward-neural-networks"

satyajitghana/PadhAI-Course

Repository containing the colab-notebooks of the course i did on deep learning from One-Fourth-Labs

Language: Jupyter Notebook - Size: 134 MB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 44 - Forks: 47

gustavecortal/natural-language-processing

Slides, exercises, and exams for my course "Natural Language Processing" (École Pour l'Informatique et les Techniques Avancées, 2024 and 2025)

Language: Jupyter Notebook - Size: 15.4 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 9 - Forks: 0

arneschreuder/masters 📦

Training Feedforward Neural Networks with Bayesian Hyper-Heuristics

Language: Jupyter Notebook - Size: 427 MB - Last synced at: 8 months ago - Pushed at: 12 months ago - Stars: 4 - Forks: 0

farkoo/GNN-Citations

Node Classification with Graph Neural Networks

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 2

alex-spataru/blackbox

Simulating the dynamical behavior of an Eddy current brake using neural networks

Language: C - Size: 10.5 MB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

MartinGurasvili/Self-Driving-Car-AI

This is a application that though a feed forward neural network allows a car to learn to drive

Language: Python - Size: 2.48 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

jmarbis1703/from_scratch_neural_network

From scratch NumPy implementation of a neural network for Titanic survival predictions. Includes tested backpropagation, early stopping, and reproducibility.

Language: Python - Size: 54.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

axelvyrn/TiresiasIQ

Tensorflow Human Behavior Prediction Engine

Language: Python - Size: 1.92 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

drdt192/research_prototype

Epochs to 99.99% Accuracy within FNNs Across Single Hidden Layer Densities and Scalar Function Types

Language: Python - Size: 11.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

pro465/nn-rs

a minimalistic feedforward neural network library in Rust

Language: Rust - Size: 35.2 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

NicholasLiem/IF3270_FP_FFNN

A quick implementation of Fast Feed Neural Network that support reading JSON input and visualize the network in an image

Language: HTML - Size: 4.41 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Kleo-Karap/Artifficial_Intelligence_2

Sentiment classification: From ML to DL to very DL models

Language: Jupyter Notebook - Size: 49 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

AxilleasGalanis/Neuro-Fuzzy-Computing-Exercises

Theory and practice of neural networks, deep learning and fuzzy logic. Excercises based on the course ECE447 of University of Thessaly.

Size: 9.26 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

neuroailab/mouse-vision

Models of Mouse Vision: Self-supervised pre-trained networks and training code (PyTorch)

Language: Python - Size: 604 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

peter-strom/ML-p3-CNN

Language: C++ - Size: 172 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

Kariaki/KotlinNeuralNetworkLibrary

In this project i worked on a neural network api from scratch to help me build reprojects that requires machine learning in neural network.

Language: Kotlin - Size: 43 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

sudarshan0419/multi-layer-feed-forward-neural-networks-for-MNIST-

Multi-layer feed-forward neural networks and auto-encoder network for MNIST dataset implemented from scratch

Language: Python - Size: 4.68 MB - Last synced at: almost 3 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

ogemarques/deep-network-designer-matlab

Example of how to use MATLAB Deep Network Designer to build deep learning solutions to two different problems: diabetes prediction and medical image classification.

Size: 2.91 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Taarak9/DL-Projects

Deep learning projects

Language: Jupyter Notebook - Size: 16 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

artisan1218/Multi-Layer-Perceptron

Python implementation of a simple MLP without using external packages

Language: Python - Size: 10.7 KB - Last synced at: almost 3 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Related Topics
neural-network 5 deep-learning 5 machine-learning 5 convolutional-neural-networks 4 deep-neural-networks 3 neural-networks 3 pytorch 3 backpropagation 2 feedforward-neural-network 2 feedforward 2 recurrent-neural-networks 2 logistic-regression 2 cnn 2 backpropagation-learning-algorithm 1 reccurent-neural-networks 1 radial-basis 1 neuroscience 1 neuroscience-inspired-ai 1 oprimization 1 hebbian-learning 1 vision 1 competitive-learning 1 pooling-max-average 1 pooling-layers 1 pooling 1 maxpooling 1 max-pooling 1 convolutional-neural-network 1 convolutional-layers 1 convolution 1 convoluted-neural-networks 1 average-pooling 1 ann 1 rust-library 1 minimal 1 network-visualization 1 ffnn 1 titanic-survival-prediction 1 numpy 1 mathematical-programming 1 supervised-learning 1 kotlin-library 1 tabular-data 1 computational-neuroscience 1 squeezenet 1 medical-imaging 1 medical-image-analysis 1 matlab 1 image-classification 1 computer-vision 1 diabetes-prediction 1 softsign 1 multi-layer-perceptron 1 mlp-networks 1 backpropagation-neural-network 1 activation-functions 1 tweets 1 sentiment-classification 1 self-normalizing-neural-networks 1 lstm-sentiment-analysis 1 imagenet 1 bert-fine-tuning 1 mouse-vision 1 multilayer-neural-network 1 autoencoder-mnist 1 mnist-classification 1 linear-classifier 1 hopfield-neural-network 1 handwritten-digit-recognizer 1 optimisation 1 meta-learning 1 hyper-heuristics 1 bayesian-statistics 1 artificial-intelligence 1 word2vec 1 vector-semantic-models 1 tutorial 1 transformer 1 tokenization 1 tf-idf 1 slides 1 nlp 1 ngrams 1 ngram-language-model 1 naive-bayes-classifier 1 naive-bayes 1 scratch 1 padhai 1 one-fourth-labs 1 neural 1 network 1 guvi 1 gradient-descent-algorithm 1 from 1 course 1 colab-notebooks 1 education 1 semantic-segmentation 1 predictive-modeling 1 nlp-machine-learning 1